Assistant Professor in Computing Science with a focus on knowledge-based AI methods

2 weeks ago


Umeå, Västerbotten, Sweden Umeå University Full time

Job Title: Assistant Professor in Artificial Intelligence - Logic and Reasoning

Company: Wallenberg AI, Autonomous Systems and Software Program (WASP)

Background

The department hosts a wide range of expertise in Artificial Intelligence research, particularly focusing on logic- and knowledge-based methods. The goal is to enhance knowledge-based AI competence, fostering collaboration across different research areas within the department.

The position is funded by WASP, providing resources for two PhD students and two post docs, along with operational expenses. WASP is Sweden's largest research program, dedicated to AI and autonomous systems working alongside humans to develop intelligent systems.

Duties

  • 80% research, 20% teaching and administration for the initial 5 years, then 75% research and 25% teaching and administration in year six and beyond.
  • Conduct research on logic and reasoning in AI, focusing on logic-based reasoning systems, argumentation, ontologies, and rational agents.
  • Encourage collaboration with industry and other research groups within the department to advance AI research.
  • Develop and deliver courses in logic and reasoning, and supervise thesis work.

Eligibility Requirements

Candidates must hold a PhD or equivalent research expertise obtained within the last five years, with exceptions for special circumstances such as sick leave or parental leave.

Assessment Criteria

Evaluation criteria include scientific expertise, pedagogical skills, administrative experience, and other relevant qualifications for the role.

Scientific Expertise

  • Breadth and depth of research, originality, and productivity.
  • Contributions to the international research community and ability to secure research funding.
  • Collaboration with the research and surrounding communities.

Research focus should be in logic and reasoning in AI.

Pedagogical Expertise

  • Planning, implementing, and evaluating teaching, and supervising students at all education levels.
  • Varied teaching methods, collaboration with society, and contribution to learning environments.
  • Reflective teaching approach and experience in logic and reasoning education.

Education in university pedagogy or relevant teaching experience is beneficial.

Other Assessment Criteria

  • Participation in working groups, collaboration outside academia, and organizing educational activities.
  • Experience in industry collaboration is advantageous.

Further Details

As an Assistant Professor at the university, you will enjoy various benefits promoting work-life balance. Explore more about these benefits at the university's provided resources.



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